The economic center of gravity in AI is decisively shifting from pre-training massive foundation models to post-training optimization and fine-tuning.
The future of software is 'model-forward,' where an AI model is a core, living component that learns from user interaction, becoming the new form of intellectual property.
The current, most significant trend in AI is the 'advent of agents,' which are being adopted at scale on platforms like Azure for automating complex tasks.
AI will fundamentally reshape organizations, replacing traditional hierarchical org charts with fluid, task-oriented 'work charts' to maximize productivity and throughput.
An effective AI strategy involves using a 'model system' or ensemble of diverse models for different tasks rather than relying on a single, monolithic model.
Prior Role
Served as an executive on Microsoft's core AI team, developing a deep expertise and a distinct vision for AI's impact on product development, corporate strategy, and organizational structure.
Recent Discourse
Articulated a comprehensive framework for the AI industry's future, emphasizing the economic shift to post-training, the rise of AI agents, and the concept of AI products as 'living organisms'.
Recent Appointment
Appointed CEO of Microsoft Gaming, replacing Phil Spencer in a major executive shakeup.
Current Perception
Her appointment is analyzed through the lens of her deep AI background and lack of gaming experience, with industry experts like Tom Warren suggesting her skills in platform scaling are precisely what Xbox needs for its next phase of growth.
▶The Economic Shift to Post-Training AIFeb 2026
Sharma argues that the AI industry is at an economic inflection point. She posits that it is no longer sensible to pre-train foundation models beyond 30 billion parameters from scratch, and predicts that future investment will heavily favor post-training optimization, fine-tuning, and reinforcement learning over pre-training.
This theme suggests that the competitive moat in AI is shifting from access to massive compute for pre-training to the possession of proprietary data and expertise for effective fine-tuning, creating opportunities for specialized firms.
▶AI Products as Living OrganismsFeb 2026
Sharma conceptualizes the next generation of products as 'model-forward' systems that are not static. She believes the new form of intellectual property will be AI products that can 'think, live, and learn' from user interactions, requiring a more flexible, 'seasonal' approach to product planning.
Investors should evaluate companies not just on their current software, but on their ability to create systems that can autonomously improve and adapt, as this will define long-term value and defensibility.
▶The Advent of AI AgentsFeb 2026
Sharma identifies the current strategic 'season' in the AI industry as the 'advent of agents.' She substantiates this claim with Microsoft Azure metrics, noting that over 15,000 customers have produced agents and that millions of agents are running on the platform, indicating a significant and rapid adoption of this technology.
This focus on agents as the key trend highlights a move from passive, analytical AI to active, autonomous AI, suggesting that the next wave of value creation will come from services that automate complex workflows.
▶AI-Driven Organizational TransformationFeb 2026
Beyond product, Sharma predicts AI will fundamentally reshape corporate structures. She foresees the dissolution of traditional hierarchical org charts in favor of 'work charts,' where fluid, task-oriented structures optimized for throughput become the norm, driven by AI's ability to make the marginal cost of high-quality output near zero.
This represents a significant operational risk and opportunity; companies that successfully adapt to this new 'work chart' model may see exponential productivity gains, while those who don't will be left with legacy inefficiencies.